CN111127208A - Abnormal transaction real-time monitoring system and calculation method - Google Patents
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Abstract
The invention discloses a real-time monitoring system and a calculation method for abnormal transactions, wherein the real-time monitoring system comprises a plurality of acquisition servers, a plurality of data exchange servers, a distributed calculation platform and a plurality of alarm servers; the acquisition server acquires transaction data of the transaction server through network communication and pushes the acquired transaction data to the data exchange server through the network communication; the data exchange server transmits the received transaction data to the distributed computing platform through network communication; the distributed computing platform comprises a plurality of computing servers, and is used for analyzing and processing the transaction data to obtain an abnormal transaction report and transmitting the abnormal transaction report to the alarm server; the alarm server is used for pushing an alarm notice of the abnormal transaction. The abnormal transaction real-time monitoring system and the calculating method realize real-time monitoring through real-time acquisition, transmission, analysis and calculation of transaction data.
Description
Technical Field
The invention belongs to the field of data monitoring, and particularly relates to an abnormal transaction real-time monitoring system and a calculation method.
Background
In the process of trading through the internet, such as e-commerce trading, stock trading, option trading, fund trading and the like, some users carry out trading and buying trading by adopting a method which does not conform to legal rules and trading rules, and the actions influence the fairness of the trading and possibly violate the rules.
The existing abnormal transaction monitoring system mainly adopts a method of periodically accessing a transaction database and performing abnormal analysis. For example, a transaction database is placed in a database, a monitoring program accesses the database once at intervals of a certain time period to obtain transaction data, and then the transaction data is analyzed to obtain an abnormal analysis result.
The defects of the prior art are as follows:
1. the efficiency of the entire monitoring system is affected by the performance of the database storing the transaction data;
2. each calculation needs a certain period, and the monitoring has large lag and cannot realize real-time monitoring;
3. when the transaction amount is large, the calculation task may have a queuing condition, the operation of initiating calculation is not real-time, and the efficiency of analyzing and calculating is low, so that the overall monitoring and calculating performance is low, and the requirement of real-time monitoring cannot be met.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an abnormal transaction real-time monitoring system and a calculation method.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a real-time monitoring system for abnormal transactions comprises a plurality of acquisition servers, a plurality of data exchange servers, a distributed computing platform and a plurality of alarm servers; wherein:
the acquisition server acquires transaction data of the transaction server through network communication and pushes the acquired transaction data to the data exchange server through the network communication;
the data exchange server transmits the received transaction data to the distributed computing platform through network communication;
the distributed computing platform comprises a plurality of computing servers, and is used for analyzing and processing the transaction data to obtain an abnormal transaction report and transmitting the abnormal transaction report to the alarm server;
the alarm server is used for pushing an alarm notice of the abnormal transaction to the staff.
According to a preferred embodiment, the collecting server collects real-time transaction data of the transaction server or the transaction server actively pushes the real-time transaction data to the collecting server.
According to a preferred embodiment, the transaction data collected by the data collection server is transmitted to the distributed computing platform in real time through the data exchange server.
According to a preferred embodiment, the transaction data is subjected to real-time parallel computation by the distributed computing platform.
In order to improve the efficiency of the real-time calculation, the invention also provides a method for calculating the abnormal transactions in real time, which comprises the following steps:
acquiring real-time transaction data, and generating keywords and data blocks of each transaction data according to the statistical dimensions;
marking the items of transaction data by HASH values, the data blocks by the keywords; caching the real-time transaction data in a storage device of a computing server in the form of the data block;
and the calculation server reads the data blocks corresponding to the keywords of the transaction data in the storage device of the calculation server to perform analysis calculation so as to obtain an abnormal transaction report.
According to a preferred embodiment, the computation server performs the analytical computation in a concurrent computation or in a parallel computation.
In order to improve the efficiency of the real-time calculation, the invention also provides a method for calculating the abnormal transactions in real time, which comprises the following steps:
acquiring real-time transaction data, wherein the real-time transaction data comprises a plurality of transaction data { a1, a2, a3, …, ai, … };
generating a keyword and a data block according to the statistical dimension, marking the data block through the keyword, and marking the transaction data ai through a HASH value; caching the transaction data ai of the transaction data to a distributed computing platform in the form of data blocks;
the distributed computing platform comprises a plurality of computing servers, wherein one computing server receives a data block corresponding to at least one keyword of the transaction data ai, namely partial data of the transaction data ai;
and carrying out parallel computation through a plurality of computation servers of the distributed computation platform to further obtain an abnormal transaction report.
Further, the real-time computing method further comprises a correlation operation step:
defining a plurality of related operation items { aj, ak, … } in the transaction data { a1, a2, a3, …, ai, … };
caching the complete contents of the plurality of items of associated operation items { aj, ak, … } into each computing server of the distributed computing platform;
and performing correlation operation on each item of data of the transaction data according to a correlation keyword between each item of data of the plurality of correlation operation items { aj, ak, … } and the rest items of transaction data { a1, a2, a3, …, ai, … }, so as to obtain an abnormal transaction calculation result.
According to a preferred embodiment, the step of caching the complete content of the associated operation item { aj, ak, … } is: each computing server of the distributed computing platform broadcasts the received partial data of the plurality of associated operational items { aj, ak, … } among all the computing servers of the distributed computing platform, and meanwhile, each computing server receives the data broadcast by other computing servers.
Compared with the prior art, the invention has the beneficial effects that:
1. the real-time transaction data of the transaction server are collected through the collection server or the transaction server actively pushes the real-time transaction data to the collection server, the influence of the performance of a database of the transaction server is avoided, and the efficiency is higher.
2. The periodic scanning operation is not required to be executed, the lag of data acquisition is avoided, the real-time acquisition of transaction data is realized, and the occupation of computing resources of a transaction server is reduced.
3. By concurrent computation or parallel computation, the analysis results of various transaction data can be quickly obtained, and real-time monitoring is realized.
4. Through the distributed computing platform and the statistical analysis of the transaction data, the concurrent computation of the transaction data is optimized, and the efficiency of analyzing and computing each transaction data is further improved.
5. Through the distributed computing platform, correlation operation can be carried out, and through correlation analysis results, abnormal transaction behaviors of the user can be identified more accurately.
Drawings
Fig. 1 is a schematic structural diagram of an abnormal transaction real-time monitoring system according to an embodiment.
Fig. 2 is a flowchart illustrating an abnormal transaction real-time calculation method according to an embodiment.
Fig. 3 is a schematic diagram illustrating data structures and relationships of transaction data, keywords, and data blocks in the real-time computing method of fig. 2.
Fig. 4 is a flowchart illustrating a method for calculating an abnormal transaction in real time according to another embodiment.
Fig. 5 is a schematic diagram illustrating data structures and relationships of transaction data, keywords, and data blocks in the real-time computing method of fig. 4.
FIG. 6 is a schematic diagram of calculation task allocation of transaction data in the real-time calculation method of FIG. 4, wherein an empty table indicates that the part of data is received by other calculation servers and is calculated.
Fig. 7 is a schematic flow chart illustrating a step of correlation operation in the real-time computing method of fig. 4.
FIG. 8 is a schematic diagram of calculation task allocation of transaction data in the real-time calculation method of FIG. 7, wherein an empty table indicates that the part of data is received by other calculation servers and calculated.
Description of the figure numbers:
10. the system comprises a transaction server, 11, an acquisition server, 12, a data exchange server, 13, a distributed computing platform, 130, a computing server and 14, an alarm server.
Detailed Description
The invention is further described below with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, the abnormal transaction real-time monitoring system of the present embodiment includes a plurality of acquisition servers 11, a plurality of data exchange servers 12, a distributed computing platform 13, and a plurality of alarm servers 14; wherein:
the acquisition server 11 acquires the transaction data of the transaction server 10 through network communication, and pushes the acquired transaction data to the data exchange server 12 through network communication;
the data exchange server 12 transmits the transaction data received by the data exchange server to the distributed computing platform 13 through network communication;
the distributed computing platform 13 includes a plurality of computing servers 130, configured to analyze and process the transaction data to obtain an abnormal transaction report, and transmit the abnormal transaction report to the alarm server 14;
the alarm server 14 is used for pushing an alarm notification of the abnormal transaction to the staff, and the notification can be pushed in various forms such as instant short messages, emails and the like.
The prior art limitations on database performance can be overcome by collecting the transaction data through the collection server 11. Preferably, the collecting server 11 collects real-time transaction data of the transaction server 10 or the transaction server 10 actively pushes the real-time transaction data to the collecting server 11. By collecting the transaction data in real time, the database does not need to be periodically scanned, and the occupation of the computing resources of the transaction server by scanning operation is avoided.
Preferably, the transaction data collected by the data collecting server 11 is transmitted to the distributed computing platform 13 in real time through the data exchange server 12. Preferably, the distributed computing platform 13 performs real-time parallel computation on the transaction data. Through real-time data transmission and real-time parallel computation, abnormal transaction behaviors can be detected immediately, and abnormal transaction reports can be pushed to workers through the alarm server 14.
As shown in fig. 2, the abnormal transaction real-time calculation method of the present embodiment, which is used in a single calculation server 130, includes the steps of:
acquiring real-time transaction data, and generating keywords and data blocks of each item of transaction data according to statistical dimensions by combining with the real-time transaction data shown in FIG. 3;
marking the transaction data items through HASH values, and marking the data blocks through the keywords; and cache the real-time transaction data in the form of the data block into a storage device of the calculation server 130;
the calculation server 130 reads the data blocks corresponding to the keywords of the transaction data in the storage device to perform analysis calculation to obtain the abnormal transaction report, it is easy to understand that the analysis calculation in this step is a conventional calculation method in the art, and does not belong to the improved part of the present invention, and a person skilled in the art can implement the analysis calculation according to the conventional technical means.
The keyword is used for describing the statistical dimension of the data block, and the data block is used for storing partial information of one transaction data corresponding to the keyword.
For example, the calculation server 130 receives three new transaction data { a1, a2, a3}, each transaction data is labeled by a HASH value and has three statistical dimensions. For the transaction data a1, three keys { k1, k2, k3} may be generated, and three data blocks are correspondingly generated, wherein the key ki is correspondingly used to describe the data blocks.
Preferably, the calculation server 130 performs analysis calculation on the transaction data in a concurrent calculation or parallel calculation manner. In the computation server 130, through configuration of computing resources, for example, one computation instance is used for computing the transaction data, and through three computation instances, parallel or concurrent computation of the three transaction data { a1, a2, a3} can be realized. Therefore, real-time calculation of a plurality of transaction data is realized, and the efficiency of identifying abnormal transaction behaviors is improved.
As shown in fig. 4, the abnormal transaction real-time computing method of the present embodiment, which is used in the distributed computing platform 13, includes the steps of:
acquiring real-time transaction data, wherein the real-time transaction data comprises a plurality of transaction data { a1, a2, a3, …, ai, … };
as shown in fig. 5, generating a key and a data block according to statistical dimensions, marking the data block by the key, and marking the transaction data ai by a HASH value, which is the same as the real-time calculation method for the single calculation server 130 in which transaction data is marked by a HASH algorithm and a data block is marked by a key; and the transaction data ai of the transaction data is cached to the distributed computing platform 13 in the form of data blocks;
the distributed computing platform 13 includes several computing servers 130, wherein one computing server 130 receives a data block corresponding to at least one keyword of the transaction data ai, that is, partial data of the transaction data ai; it should be understood that the number of items of transaction data involved in the analysis and calculation performed by one of the calculation servers 130 is not limited herein;
and performing parallel computation through a plurality of computation servers 130 of the distributed computation platform 13 to obtain an abnormal transaction report.
The distributed computing platform 13 distributes computing tasks and summarizes computing results. Regarding the consistency of the processing principle of the existing transaction data, only two transaction data { a1, a2} are taken as an example for detailed description.
Referring to fig. 6, one computing server 130 of the distributed computing platform 13 receives the data block corresponding to the keyword Key1 of the transaction data { a1, a2} and performs analysis and computation, another computing server 130 receives the data blocks corresponding to the keyword Key2 and Key3 of the transaction data { a1, a2} and performs analysis and computation, the data blocks corresponding to the remaining keywords are performed by the other computing servers 130 of the distributed computing platform 13, and the processing process of the remaining transaction data may refer to the processing process of the transaction data { a1, a2}, which is not described herein again. The calculation servers 130 perform parallel calculation on some transaction data or some data of some transaction data to obtain calculation results of the data of each part, and the distributed calculation platform collects the calculation results to generate an abnormal transaction report.
As shown in fig. 7, further, the real-time computing method further includes a correlation operation step:
defining a plurality of related operation items { aj, ak, … } in the transaction data { a1, a2, a3, …, ai, … };
caching the complete contents of the plurality of associated operation items { aj, ak, … } into each computation server 130 of the distributed computation platform 13; the step is preferably: each computing server 130 of the distributed computing platform 13 broadcasts the received partial data of the plurality of associated operational items { aj, ak, … } among all the computing servers 130 of the distributed computing platform 13, and simultaneously each computing server 130 receives the data broadcast by other computing servers 130;
and performing correlation operation on each item of data of the transaction data according to a correlation keyword between each item of data of the plurality of correlation operation items { aj, ak, … } and the rest items of transaction data { a1, a2, a3, …, ai, … }, so as to obtain an abnormal transaction calculation result.
Taking the transaction data { a1, a2} as an example, and referring to fig. 8, defining the transaction data a1 as related operation items, each computing server 130 of the distributed computing platform 13 has received partial data of the transaction data a1, and the set of the partial data of all the computing servers 130 is complete data of the transaction data a 1.
The computing server 130 that receives the data block corresponding to the Key1 of the transaction data { a1, a2} broadcasts the data of the data block corresponding to the Key1 among the computing servers 130 of the distributed computing platform 13, and the other computing servers 130 of the distributed computing platform 13 receive the data of the data block corresponding to the Key1 of the transaction data a 1; for the data blocks corresponding to the other keywords of the transaction data a1, broadcast and receive according to the same process, and then all the computing servers 130 of the distributed computing platform 13 cache the complete data of the transaction data a 1.
The transaction data a1 is used as the related operation item, and a plurality of related keywords exist between the transaction data a2, so that the related operation of the transaction data a1 and the transaction data a2 is carried out. When there are multiple associated operation items and multiple transaction data, the process is the same as the above process, and is not described herein again.
The abnormal transaction real-time computing method for the single computing server and the abnormal transaction real-time computing method for the distributed computing platform are applied to the abnormal transaction real-time monitoring system. By real-time acquisition of transaction data and real-time concurrent computation/parallel computation, the abnormal transaction behavior is monitored in real time; meanwhile, the association relation among all transactions is analyzed by combining association operation, so that abnormal transaction behaviors can be identified more accurately.
The above embodiments describe the working principle of the present invention and the process of performing real-time calculation in detail, but should not be construed as limiting the present invention. It is easily understood that the technical solutions according to the present invention may be further modified by those skilled in the art, but any simple modifications or equivalents will fall within the protection scope of the claims of the present invention.
Claims (9)
1. A real-time monitoring system for abnormal transactions is characterized by comprising a plurality of acquisition servers, a plurality of data exchange servers, a distributed computing platform and a plurality of alarm servers; wherein:
the acquisition server acquires transaction data of the transaction server through network communication and pushes the acquired transaction data to the data exchange server through the network communication;
the data exchange server transmits the received transaction data to the distributed computing platform through network communication;
the distributed computing platform comprises a plurality of computing servers, and is used for analyzing and processing the transaction data to obtain an abnormal transaction report and transmitting the abnormal transaction report to the alarm server;
the alarm server is used for pushing an alarm notice of the abnormal transaction to the staff.
2. The real-time monitoring system of claim 1, wherein the collection server collects real-time transaction data of the transaction server or the transaction server actively pushes real-time transaction data to the collection server.
3. The real-time monitoring system of claim 1, wherein the transaction data collected by the data collection server is transmitted to the distributed computing platform in real-time by the data exchange server.
4. The real-time monitoring system of claim 1, wherein the transaction data is computed in parallel in real-time by the distributed computing platform.
5. A real-time abnormal transaction calculation method is characterized by comprising the following steps:
acquiring real-time transaction data, and generating keywords and data blocks of each transaction data according to the statistical dimensions;
marking the transaction data items through HASH values, and marking the data blocks through the keywords; caching the real-time transaction data in a storage device of a computing server in the form of the data block;
and the calculation server reads the data blocks corresponding to the keywords of the transaction data in the storage device of the calculation server to perform analysis calculation so as to obtain an abnormal transaction report.
6. The real-time computing method of claim 5, wherein the computing server performs the analytical computation in a concurrent or parallel computing manner.
7. A real-time abnormal transaction calculation method is characterized by comprising the following steps:
acquiring real-time transaction data, wherein the real-time transaction data comprises a plurality of transaction data { a1, a2, a3, …, ai, … };
generating a keyword and a data block according to the statistical dimension, marking the data block through the keyword, and marking the transaction data ai through a HASH value; caching the transaction data ai of the transaction data to a distributed computing platform in the form of data blocks;
the distributed computing platform comprises a plurality of computing servers, wherein one computing server receives a data block corresponding to at least one keyword of the transaction data ai, namely partial data of the transaction data ai;
and carrying out parallel computation through a plurality of computation servers of the distributed computation platform to further obtain an abnormal transaction report.
8. The real-time computing method of claim 7, further comprising the correlation operation step of:
defining a plurality of related operation items { aj, ak, … } in the transaction data { a1, a2, a3, …, ai, … };
caching the complete contents of the plurality of items of associated operation items { aj, ak, … } into each computing server of the distributed computing platform;
and performing correlation operation on each item of data of the transaction data according to a correlation keyword between each item of data of the plurality of correlation operation items { aj, ak, … } and the rest items of transaction data { a1, a2, a3, …, ai, … }, so as to obtain an abnormal transaction calculation result.
9. The real-time computing method of claim 8, wherein the step of caching the complete content of the associated operation item { aj, ak, … } is: each computing server of the distributed computing platform broadcasts the received partial data of the plurality of associated operational items { aj, ak, … } among all the computing servers of the distributed computing platform, and meanwhile, each computing server receives the data broadcast by other computing servers.
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